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What is Oracle Stream Analytics?

Oracle Stream Analytics enables users to manage and analyze extensive streams of real-time data using sophisticated correlation methods, enrichment features, and the incorporation of machine learning. This innovative platform provides instant, actionable insights for organizations that work with streaming data, allowing for automated responses that cater to the demands of contemporary agile businesses. It includes Visual GEOProcessing with GEOFence relationship spatial analytics, which adds depth to location-based decision-making processes. Moreover, a newly launched Expressive Patterns Library offers a variety of categories, including Spatial, Statistical, General industry, and Anomaly detection, along with functionalities for streaming machine learning. With its user-friendly visual interface, individuals can effortlessly navigate live streaming data, promoting effective in-memory analytics that bolster real-time business strategies. The robust capabilities of this tool not only enhance operational efficiency but also streamline decision-making in dynamic environments, ensuring that businesses remain competitive and responsive to change. In essence, Oracle Stream Analytics stands as a vital asset for organizations aiming to thrive in the fast-evolving digital landscape.

What is Google Cloud Dataflow?

A data processing solution that combines both streaming and batch functionalities in a serverless, cost-effective manner is now available. This service provides comprehensive management for data operations, facilitating smooth automation in the setup and management of necessary resources. With the ability to scale horizontally, the system can adapt worker resources in real time, boosting overall efficiency. The advancement of this technology is largely supported by the contributions of the open-source community, especially through the Apache Beam SDK, which ensures reliable processing with exactly-once guarantees. Dataflow significantly speeds up the creation of streaming data pipelines, greatly decreasing latency associated with data handling. By embracing a serverless architecture, development teams can concentrate more on coding rather than navigating the complexities involved in server cluster management, which alleviates the typical operational challenges faced in data engineering. This automatic resource management not only helps in reducing latency but also enhances resource utilization, allowing teams to maximize their operational effectiveness. In addition, the framework fosters an environment conducive to collaboration, empowering developers to create powerful applications while remaining free from the distractions of managing the underlying infrastructure. As a result, teams can achieve higher productivity and innovation in their data processing initiatives.

Media

Media

Integrations Supported

CData Connect
DataBuck
Google Cloud Bigtable
Google Cloud Composer
Google Cloud Dataplex
Google Cloud Datastream
Google Cloud IoT Core
Google Cloud Platform
Google Cloud Profiler
New Relic
Pantomath
Protegrity
Sedai
Telmai
Ternary

Integrations Supported

CData Connect
DataBuck
Google Cloud Bigtable
Google Cloud Composer
Google Cloud Dataplex
Google Cloud Datastream
Google Cloud IoT Core
Google Cloud Platform
Google Cloud Profiler
New Relic
Pantomath
Protegrity
Sedai
Telmai
Ternary

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/middleware/technologies/stream-processing.html

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/dataflow

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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